Big Data is quickly becoming essential to businesses around the world, and in the right hands it can be an organization’s most important asset. However, the rise of cloud, mobile and social computing means that organizations are facing ever-increasing volumes of data as well as various types of data. Big Data Analytics, a service that NEOS successfully provides, enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights.
Data never sleeps. Every minute websites, smartphones, and applications generate massive amounts of both structured and unstructured data, i.e. Big Data, the inordinate size of which makes it impossible to process using traditional database and software techniques. Depending on the industry, big data is collected from multiple external and internal sources such as social media, transactions, sensors, enterprise content, and mobile devices. Furthermore, the unstoppable rise of cloud, mobile and social computing means that organizations are facing ever-increasing volumes of various types of data. As data volume increases, the ability to gather and interpret data in an understandable way so that a company can make faster and more accurate decisions is the key to keeping a business competitive.
Therefore, understanding and taking charge of Big Data needs is the next big challenge every company has to face. At the same time, it also represents enormous potential for innovation and growth. Among other things, Big Data analytical findings can lead to marketing that is more effective and offers new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rivals and other benefits.
In light of that discovery, organizations today, more than ever, need the right tools, rigorous processes, smart solutions and people who can help them realize and achieve big returns from Big Data. This is where Big Data analytics comes into focus. It is a process of collecting, organizing and analyzing large sets of data in order to discover patterns, understand the information contained within the data, and extract the most important data in decision-making situations. Simply put, Big Data analysts help organizations analyze larger volumes of data from a variety of sources, and deliver the analysis at a greater velocity.
Big Data Analytics, a service that NEOS successfully provides, enables organizations to analyze a mix of structured, semi-structured and unstructured data in search of valuable business information and insights. By examining large data sets containing a variety of data types at a high velocity, NEOS enables companies to uncover hidden patterns and unknown correlations, perceive market trends, and gain insight into customer preferences and other useful business information. NEOS’s goal is to secure real-time data for real-time decision-making! Also, keep in mind that Big Data is highly scalable, which implies that any company can start on the Big Data journey without a large investment. It can start with a simple evaluation and expand from there should it prove useful. NEOS is constantly seeking and implementing excellent solutions, with expertise ranging from enterprise solutions to social platform and mixed complex solutions.
Telecom companies today face the challenge of ever-increasing amounts of business and regulatory requirements. These challenges make goals such as operation optimization, cost control and revenue elevation a top priority for the management, requiring deep business knowledge that depends on new techniques of data acquisition and analysis. So far, telecom companies have for the most part relied on relational technologies coupled with business intelligence tools to handle this growing data and analytics burden.